I recently saw a tweet from Sam Bhagwat (Mastra AI's Founder) which mentions that around 60–70% of YC X25 agent companies are building their AI agents in TypeScript.
This stat surprised me because early frameworks like LangChain were originally Python-first.
So, why the shift toward TypeScript for building AI agents?
Here are a few possible reasons I’ve understood:
- Many early projects focused on stitching together tools and APIs. That pulled in a lot of frontend/full-stack devs who were already in the TypeScript ecosystem.
- TypeScript’s static types and IDE integration are a huge productivity boost when rapidly iterating on complex logic, chaining tools, or calling LLMs.
- Also, as Sam points out, full-stack devs can ship quickly using TS for both backend and frontend.
- Vercel's AI SDK also played a big role here.
I would love to know your take on this!